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 Duration 14 hours

Course Outline

AI in Media: An Introduction

  • Tracing the historical development of AI in content production
  • Surveying current AI technologies applied in the media sector

Deep Learning & DeepFake Technology

  • Grasping the fundamental principles of deep learning
  • DeepFake creation: Examining tools, methods, and regulatory frameworks

Fundamentals of Voice Cloning

  • Getting acquainted with voice cloning mechanisms
  • Practical sessions focused on generating voice clones

Applications of Text-to-Speech (TTS) and Speech-to-Text (STT)

  • Investigating the capabilities of TTS and STT systems
  • Incorporating TTS and STT into creative workflows

AI-Powered Video Production

  • Leveraging AI for the generation of video material
  • Practical exercise: Producing a short video using AI generation

AI Resources for Content Creators

  • Reviewing the landscape of available AI tools and their functionalities
  • Workshop: Testing and comparing various AI platforms

Ethical Dimensions of AI in Media

  • Analyzing the moral implications of AI-generated media
  • Establishing best practices for the responsible deployment of AI in media

Applied Learning Sessions

  • Examining real-world case studies and industry applications
  • Collaborative group projects and peer feedback
  • Capstone project: Crafting a comprehensive AI-driven media product

Recap and Future Directions

Requirements

  • No previous background in AI or programming is necessary
  • A curiosity about state-of-the-art technologies in media production
  • An openness to discovering new tools and innovative creative methods

Target Audience

  • Content creators aiming to integrate AI into their production workflows
  • Entrepreneurs exploring AI's potential to drive business innovation
  • Individuals interested in the ethical dimensions and creative scope of DeepFake technology

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